自闭症谱系障碍:调查幼儿的预测性适应行为技能缺陷。

Autism Research and Treatment Pub Date : 2021-01-31 eCollection Date: 2021-01-01 DOI:10.1155/2021/8870461
Emma Feige, Rhonda Mattingly, Teresa Pitts, Alan F Smith
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引用次数: 0

摘要

自闭症谱系障碍(ASD)是一种终身性神经发育障碍,包括社交沟通和语言障碍,以及行为受限和重复。这些缺陷往往出现在儿童早期,通常会导致在各种环境中的功能障碍。此外,这些缺陷已被证明会对适应行为和功能产生负面影响。因此,早期诊断和干预对这一人群未来的成功至关重要。本研究旨在进一步检查 Bayley®-III 适应行为部分的子量表,以确定十个子量表中哪些量表可预测幼儿(即 3 岁以下)的 ASD。我们对参加肯塔基州早期干预项目 First Steps 的 273 名儿童进行了回顾性档案审查。这些儿童的年龄从 18 个月到 35 个月不等。研究人员采用二元逻辑回归法对 Bayley®-III 适应行为部分的分量表进行了评估,以确定在十个分量表中,哪些分量表可以预测幼儿(即 3 岁以下)的自闭症。结果表明,在沟通、社区使用、学前功能、家庭生活、健康与安全、休闲、自理、自我指导和社交等分量表中,原始得分较低的个体可被诊断为自闭症。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Autism Spectrum Disorder: Investigating Predictive Adaptive Behavior Skill Deficits in Young Children.

Autism spectrum disorder (ASD) is a lifelong neurodevelopmental disorder that consists of difficulties with social communication and language, as well as the presence of restricted and repetitive behaviors. These deficits tend to present in early childhood and usually lead to impairments in functioning across various settings. Moreover, these deficits have been shown to negatively impact adaptive behavior and functioning. Thus, early diagnosis and intervention is vital for future success within this population. The purpose of this study was to further examine the subscales that comprise the adaptive behavior section of the Bayley®-III to determine which of the ten subscales are predictive of ASD in young children (i.e., ≤ three years of age). A retrospective file review of 273 children participating in Kentucky's early intervention program, First Steps, was completed. The children ranged in age from 18 to 35 months. A binary logistic regression was used to assess the subscales that comprise the adaptive behavior of the section of the Bayley®-III to determine which of the ten subscales are predictive of ASD in young children (i.e., ≤ three years of age). The results indicated that individual lower raw scores in communication, community use, functional preacademics, home living, health and safety, leisure, self-care, self-direction, and social subscales were predictive of an autism diagnosis.

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